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One in eight global deaths can be directly attributed to air pollution exposure. Yet our understanding of global pollution -- emitters, transport, and in-atmosphere reactions -- is incomplete. Broadly speaking, my research at the Atmospheric Chemistry Modeling Group focuses on the interactions between global climate and air quality. I want to understand the physics that drives extreme pollution events, and how we can expect that physics to change with climate in the coming decades. My work focuses on east Asia; currently, I'm trying to predict how extreme winter pollution events in Beijing will change as a result of climate forcing. To this end, I use insights from climate modeling, extreme value theory, and machine learning.
The above image is a global chart of sea level pressure in January 2013. At that time, Beijing's air pollution reached life-threatening levels. I hope to understand the meteorology that caused that event, so that in the future we can better prevent these episodes.